Searched for: subject%3A%22Big%255C%2BData%22
(1 - 20 of 174)

Pages

document
Nettesheim, Lara (author)
Every child in the Netherlands should receive an equal opportunity to begin their life with the best possible prospects. The first 1000 days of a child’s life are of utmost importance in establishing a strong foundation for future development. Children may experience a disadvantageous beginning due to various factors such as exposure to smoking...
master thesis 2023
document
Jonkman, Christian (author)
Incorporating big data into decision-making provides a substantial competitive advantage, leading organisations to increasingly adopt a data-driven strategy. However, the adoption by organisations often remains unsuccessful due to limitations associated with monolithic data architectures, such as data lakes and data warehouses. Data mesh is...
master thesis 2023
document
Lindenbergh, R.C. (author), Cserép, Máté (author)
The evolution and spreading of data capturing methods ranging from simple GPS devices like smart-phones to large scale imaging equipment – including very high resolution and hyperspectral cameras and LiDAR – resulted in an exponential growth in the amount of spatial data maintained by companies and organizations. At the same time methods for...
journal article 2023
document
Bierkens, G.N.J.C. (author), Grazzi, S. (author), van der Meulen, F.H. (author), Schauer, M.R. (author)
We construct a new class of efficient Monte Carlo methods based on continuous-time piecewise deterministic Markov processes (PDMPs) suitable for inference in high dimensional sparse models, i.e. models for which there is prior knowledge that many coordinates are likely to be exactly 0. This is achieved with the fairly simple idea of endowing...
journal article 2023
document
Bai, N. (author), Nourian, Pirouz (author), Pereira Roders, A. (author), Bunschoten, Raoul (author), Huang, Weixin (author), Wang, Lu (author)
During the rural [re]vitalization process in China, national strategies required rural public spaces with cultural significance to be identified before planning decision-making. However, places identified as culturally significant by planners and visitors can differ from the ones mostly used and valued by locals. Even if there is a growing...
journal article 2023
document
Masso, Anu (author), Männiste, Maris (author), Calzati, S. (author)
This study strives to contribute to the discussions on the increasing use of data in organisational settings within specific contexts like governance and control of spatial mobilities. Whereas legal, regulatory, and technical aspects are widely studied, there is less knowledge about public discourses on data, especially the data professionals'...
journal article 2023
document
Zhang, Jinlei (author), Chen, Yijie (author), Krishnakumari, P.K. (author), Jin, Guangyin (author), Wang, Chengcheng (author), Yang, Lixing (author)
Accurate and reliable short- term passenger flow prediction can support operations and decision-making of the URT system from multiple perspectives. In this paper, we propose a URT multi- step short- term passenger flow prediction model at the network level based on a Transformer-based LSTM network, Depth-wise Attention Block, and CNN network...
journal article 2023
document
Mohammed, R.A. (author), Nadi Najafabadi, A. (author), Tavasszy, Lorant (author), de Bok, M.A. (author)
Understanding the logistic determinants of freight trips is an important goal in freight transport modeling. Freight shipments move between nodes in the supply chain for different logistic purposes, including production, storage, transshipment, and consumption. A key problem with data availability is that databases generally do not identify...
journal article 2023
document
Bai, N. (author), Ducci, Marta (author), Mirzikashvili, Rusudan (author), Nourian, Pirouz (author), Pereira Roders, A. (author)
The UNESCO 2011 Recommendation on the Historic Urban Landscape promotes to map cultural significance of urban heritage from the perspectives of the general public in pursuit of social inclusion in heritage management. The user-generated information already available on social media platforms in the form of images, comments, and ratings can be...
conference paper 2023
document
van der Heijden, Dante (author)
Since early history, humans have been attracted to coastal areas. This can be related to the economic benefits of these areas due to access of ocean navigation, coastal fisheries, tourism and recreation (Seas and Plans, 2011). Around 40% of the world’s population lives within 100 km of the coast (Seas and Plans, 2011). People are drawn to sandy...
master thesis 2022
document
Dell'Orto, Federico (author)
Nowadays many companies still conceive their logistic operations as a simple material replenishment of the production plants and do not invest money and time in projects to structure their Supply Chain and bring more eciency to the production process. In addition, the high complexity of the automotive industry and the emerging uncertainties that...
master thesis 2022
document
van der Heijden, Sjoerd (author)
In this thesis I use a novel approach to estimate the economic impact of the 2021 Limburg flood using high-frequency transaction data from ABN AMRO bank. High- frequency bank transaction data have previously been proven valuable in accessing the economic impact of the COVID-19 pandemic (Neuteboom et al., 2021). To the best of my knowledge, this...
master thesis 2022
document
de Wilt, Wouter (author)
Big data analytics (BDA) and supply chain resilience are both present and important topics, but research on the relation between the subjects is limited. This also holds for the translation of the subject for a specific industry. This research therefore addresses this relation and translates it to a comprehensive partial resilience assessment...
master thesis 2022
document
Ashouri, Sajad (author), Suominen, Arho (author), Hajikhani, Arash (author), Pukelis, Lukas (author), Schubert, Torben (author), Türkeli, Serdar (author), van Beers, Cees (author), Cunningham, Scott (author)
This article presents data on companies' innovative behavior measured at the firm-level based on web scraped firm-level data derived from medium-high and high-technology companies in the European Union and the United Kingdom. The data are retrieved from individual company websites and contains in total data on 96,921 companies. The data...
journal article 2022
document
de Bok, M.A. (author), Tavasszy, Lorant (author), Thoen, Sebastiaan (author)
Reducing emissions caused by urban freight transportation is an increasingly important policy objective for transportation planners around the world. New and innovative ways of data collection provide new possibilities to analyze these issues. In this paper we present MASS-GT, a new multi-agent simulation system for urban goods transport. The...
journal article 2022
document
Masso, Anu (author), Chukwu, Martha (author), Calzati, S. (author)
This study explores relocated algorithmic governance through a qualitative study of the Ubenwa health app. The Ubenwa, which was developed in Canada based on a dataset of babies from Mexico, is currently being implemented in Nigeria to detect birth asphyxia. The app serves as an ideal case for examining the socio-cultural negotiations...
journal article 2022
document
Wang, K. (author), Wang, Jianhang (author), Huang, Lianzhong (author), Yuan, Yupeng (author), Wu, Guitao (author), Xing, Hui (author), Wang, Zhongyi (author), Wang, Zhuang (author), Jiang, X. (author)
Ship energy consumption and emission prediction are critical for ship energy efficiency management and pollution gas emission control, both of which are major concerns for the shipping industry and hence continue to attract global attention and research interest. This article examined the energy efficiency data sources, big data analysis for...
review 2022
document
Mrozek, Michal (author), Sirenko, M. (author), Foks-Ryznar, Anna (author), Sawicki, Bartosz (author)
The paper presents a web-based system designed to visualize a simulation of ca. 500,000 residents of a city during the COVID-19 outbreak. Each agent's infection status and mobility are presented in the time scale. The main effort was to ensure simplicity from the user's perspective and smooth operation on various client devices. The full range...
conference paper 2022
document
Mostafaei, Habib (author), Smaragdakis, G. (author), Zinner, Thomas (author), Feldmann, Anja (author)
Big data analytics platforms have played a critical role in the unprecedented success of data-driven applications. However, real-time and streaming data applications, and recent legislation, e.g., GDPR in Europe, have posed constraints on exchanging and analyzing data, especially personal data, across geographic regions. To address such...
journal article 2022
document
Ahmad, T. (author), Ma, Chengxin (author), Al-Ars, Z. (author), Hofstee, H.P. (author)
Current cluster scaled genomics data processing solutions rely on big data frameworks like Apache Spark, Hadoop and HDFS for data scheduling, processing and storage. These frameworks come with additional computation and memory overheads by default. It has been observed that scaling genomics dataset processing beyond 32 nodes is not efficient on...
conference paper 2022
Searched for: subject%3A%22Big%255C%2BData%22
(1 - 20 of 174)

Pages